Point Placement by Phylogenetic Trees and its Application to Visual Analysis of Document Collections

  • Authors:

  • Ana M. Cuadros;Fernando V. Paulovich;Rosane Minghim;Guilherme P. Telles

  • Affiliations:

  • Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil. e-mail: anamaria@icmc.usp.br;Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil. e-mail: paulovic@icmc.usp.br;Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil. e-mail: rminghim@icmc.usp.br;Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil. e-mail: gpt@icmc.usp.br

  • Venue:
  • VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The task of building effective representations to visualize and explore collections with moderate to large number of documents is hard. It depends on the evaluation of some distance measure among texts and also on the representation of such relationships in bidimensional spaces. In this paper we introduce an alternative approach for building visual maps of documents based on their content similarity, through reconstruction of phylogenetic trees. The tree is capable of representing relationships that allows the user to quickly recover information detected by the similarity metric. For a variety of text collections of different natures we show that we can achieve improved exploration capability and more clear visualization of relationships amongst documents.